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Finance and Mathematics

  • Bachelor of Science
Finance Program student listening to a professor

Become a Financial Powerhouse

Finance is the art and science of managing money. Blended with mathematics, students develop a deeper understanding of financial models which prepares students for a career in financial analysis or further education with a master’s or PhD in finance. By their senior year, students will have a strong grasp of portfolio theory and capital markets built on a solid foundation of the mathematical roots of finance. Geared for students looking for careers in investment, there is also a heavy emphasis on practical preparation—the SIE (Securities Industry Essentials) exam, CFA (Chartered Financial Analyst) exam, CFP (Certified Financial Planner) exam, or even the CAIA (Chartered Alternative Investments Analyst) exam. Rooted in the Benedictine value of stewardship, the program emphasizes responsible financial leadership by preparing students to help individuals, businesses, and communities manage resources wisely and sustainably.

Undergraduate Programs

Program Highlights

Careers after Saint Vincent

A finance/mathematics degree opens the door to a wide range of career opportunities. Some graduates choose commercial banking, large wealth management firms, and boutique investment shops, while others continue their education with a master’s in finance or a PhD in finance.

Alumni will go on to successful careers as

  • Risk management specialists
  • Capital markets analysts
  • Derivatives operations associates
  • Financial analysts
  • Financial advisors

Our students have secured jobs and internships at a variety of companies in their field such as:

  • First National Bank
  • PNC
  • BNY Mellon
  • U.S. Steel
  • PPG
  • Stanley, Black & Decker
  • Koch Industries
  • Baird
  • Federated Investors
  • Gaskey & Associates
  • Covington Investment Advisors

Required Curriculum

The finance/mathematics major is part of the Alex G. McKenna School of Business, Economics, and Government and supported by our core curriculum, where students delve into diverse academic subjects at both foundational and advanced levels to explore how different disciplines connect, fostering deeper self-understanding and proficiency in their chosen field of study. The mathematics major is blended seamlessly with classes most useful to the field of finance.

  • Major: Course Requirements

    50 credits

    • BA 101 Financial Accounting II 
    • BA/EC 353 International Finance 
    • BA 362 Investments I: Securities
    • BA 363 Investments II: Derivatives 
    • BA 367 Investment III: Alternative Assets 
    • BA 385 Financial Institutions 
    • BA 488 Portfolio Theory 
    • BA 351/A Statistics and Analytics II 4 & Excel II Lab
    • MA 112 Analytical Calculus II 
    • MA 211 Analytical Calculus III 
    • MA 212 Ordinary and Partial Differential Equations 
    • MA 231 Methods of Proof 
    • MA 251 Linear Algebra 
    • MA 321 Complex Variables 
    • MA 421 Real Analysis I 
    • MA 422 Real Analysis II 
  • Key Courses

    The program has a strong core that combines courses in investments, financial institutions, international finance, and mathematics.

    Investment I: Securities Explore the fundamentals of investing and financial markets in this introductory course. Topics include the time value of money, investment principles, market structures, and techniques for analyzing and valuing bonds and stocks. You'll also learn about interest rates, duration, and both fundamental and technical analysis—building a solid foundation for smart financial decision-making.

    Portfolio Theory: Build capital pricing models from their economic underpinnings, with an eye on developing the most effective portfolio for a variety of risk and return profiles. This course also explores theories of market behavior such as the efficient market hypothesis and behavioral finance.

    Linear Algebra: Study the core concepts that shape modern mathematics: matrices and linear systems, vector spaces, linear transformations, determinants, inner product spaces, and eigenvalues/eigenvectors. Build a strong foundation for advanced math and applications in finance and data analysis.

    Ordinary & Partial Differential Equations: Explore methods for solving first- and second-order differential equations and their applications. Topics include classical and numerical techniques, series solutions, Laplace transforms, higher-order equations, and an introduction to partial differential equations and Fourier series.

Undergraduate Programs